2007 |
24 | | Daniel Dajun Zeng,
Ivan Gotham,
Ken Komatsu,
Cecil Lynch,
Mark Thurmond,
David Madigan,
Bill Lober,
James Kvach,
Hsinchun Chen:
Intelligence and Security Informatics: Biosurveillance, Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007, Proceedings.
Springer 2007 |
23 | EE | Suhrid Balakrishnan,
David Madigan:
Finding Predictive Runs with LAPS.
ICDM 2007: 415-420 |
22 | EE | David Madigan,
Sushil Mittal,
Fred Roberts:
Sequential Decision Making Algorithms for Port of Entry Inspection: Overcoming Computational Challenges.
ISI 2007: 1-7 |
2006 |
21 | EE | Suhrid Balakrishnan,
David Madigan:
Decision Trees for Functional Variables.
ICDM 2006: 798-802 |
20 | EE | Saket Anand,
David Madigan,
Richard J. Mammone,
Saumitr Pathak,
Fred Roberts:
Experimental Analysis of Sequential Decision Making Algorithms for Port of Entry Inspection Procedures.
ISI 2006: 319-330 |
19 | EE | Aynur A. Dayanik,
David D. Lewis,
David Madigan,
Vladimir Menkov,
Alexander Genkin:
Constructing informative prior distributions from domain knowledge in text classification.
SIGIR 2006: 493-500 |
18 | EE | David Madigan,
Yehuda Vardi,
Ishay Weissman:
Extreme value theory applied to document retrieval from large collections.
Inf. Retr. 9(3): 273-294 (2006) |
2005 |
17 | EE | David Madigan,
E. Einahrawy,
R. P. Martin,
Wen-Hua Ju,
P. Krishnan,
A. S. Krishnakumar:
Bayesian indoor positioning systems.
INFOCOM 2005: 1217-1227 |
2003 |
16 | EE | Dmitriy Fradkin,
David Madigan:
Experiments with random projections for machine learning.
KDD 2003: 517-522 |
15 | EE | Greg Ridgeway,
David Madigan:
A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets.
Data Min. Knowl. Discov. 7(3): 301-319 (2003) |
2002 |
14 | EE | Greg Ridgeway,
David Madigan:
Bayesian analysis of massive datasets via particle filters.
KDD 2002: 5-13 |
13 | | David Madigan,
Nandini Raghavan,
William DuMouchel,
Martha Nason,
Christian Posse,
Greg Ridgeway:
Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction.
Data Min. Knowl. Discov. 6(2): 173-190 (2002) |
2000 |
12 | EE | Tapas Kanungo,
Robert M. Haralick,
Henry S. Baird,
Werner Stuetzle,
David Madigan:
A Statistical, Nonparametric Methodology for Document Degradation Model Validation.
IEEE Trans. Pattern Anal. Mach. Intell. 22(11): 1209-1223 (2000) |
11 | EE | Surajit Chaudhuri,
David Madigan,
Usama M. Fayyad:
KDD-99: The Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
SIGKDD Explorations 1(2): 49-51 (2000) |
1998 |
10 | | Greg Ridgeway,
David Madigan,
Thomas Richardson,
John O'Kane:
Interpretable Boosted Naïve Bayes Classification.
KDD 1998: 101-104 |
1997 |
9 | | Steen A. Andersson,
David Madigan,
Michael D. Perlman,
Christopher M. Triggs:
A Graphical Characterization of Lattice Conditional Independence Models.
Ann. Math. Artif. Intell. 21(1): 27-50 (1997) |
8 | | Clark Glymour,
David Madigan,
Daryl Pregibon,
Padhraic Smyth:
Statistical Themes and Lessons for Data Mining.
Data Min. Knowl. Discov. 1(1): 11-28 (1997) |
1996 |
7 | EE | Steen A. Andersson,
David Madigan,
Michael D. Perlman:
An Alternative Markov Property for Chain Graphs.
UAI 1996: 40-48 |
6 | EE | Clark Glymour,
David Madigan,
Daryl Pregibon,
Padhraic Smyth:
Statistical Inference and Data Mining.
Commun. ACM 39(11): 35-41 (1996) |
1995 |
5 | EE | Steve Hanks,
David Madigan,
Jonathan Gavrin:
Probabilistic Temporal Reasoning with Endogenous Change.
UAI 1995: 245-254 |
4 | EE | David Madigan:
Editorial: knowledge-based hypermedia.
Int. J. Hum.-Comput. Stud. 43(3): 279 (1995) |
3 | EE | David Madigan,
C. Richard Chapman,
Jonathan Gavrin,
Ole Villumsen,
John Boose:
Repertory hypergrids for large-scale hypermedia linking.
Int. J. Hum.-Comput. Stud. 43(3): 465-481 (1995) |
1994 |
2 | EE | David Madigan,
C. Richard Chapman,
Jonathan Gavrin,
Ole Villumsen,
John Boose:
Repertory Hypergrids: An Application to Clinical Practice Guidelines.
ECHT 1994: 117-125 |
1 | EE | Tapas Kanungo,
Robert M. Haralick,
Henry S. Baird,
Werner Stuetzle,
David Madigan:
Document Degradation Models: Parameter Estimation and Model Validation.
MVA 1994: 552-557 |